|The Department of Mathematics at the National University of Singapore (NUS) is offering positions for postdoctoral fellows who will work closely with Dr. Vincent Tan and/or Dr. Jonathan Scarlett at the intersection of information theory, statistical signal processing, and machine learning. Some sample topics include: |
Fundamental performance limits (and algorithms) for dictionary learning (e.g., matrix factorization), ranking, and deep learning architectures; Learning in the presence of privacy constraints; Learning in the large alphabet regime; Learning of graphical models and other statistical models; Robustness considerations in machine learning (e.g., model uncertainty, adversarial attacks).
Each position is expected to last from one to three years. The candidate is expected to have a PhD in applied mathematics, electrical engineering, or computer science, and a strong publication record in information theory, signal processing, or machine learning. The candidate will work closely with Dr. Vincent Tan and/or Dr. Jonathan Scarlett and will use the postdoctoral stint to develop a strong research profile that will enable him/her to find a good faculty position after the postdoctoral stint.
For more information about Vincent Tan's and Jonathan Scarlett's research interests, please visit their homepages at http://www.ece.nus.edu.sg/stfpage/vtan/ and http://www.comp.nus.edu.sg/~scarlett/
Application materials: 1) Cover letter 2) CV including a publication list 3) Research statement 4) 4 letters of recommendation (including a letter from main PhD supervisor)
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